Wan‐Chun Ma

1.3k total citations
36 papers, 837 citations indexed

About

Wan‐Chun Ma is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Wan‐Chun Ma has authored 36 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 27 papers in Computational Mechanics and 21 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Wan‐Chun Ma's work include 3D Shape Modeling and Analysis (26 papers), Computer Graphics and Visualization Techniques (21 papers) and Advanced Vision and Imaging (18 papers). Wan‐Chun Ma is often cited by papers focused on 3D Shape Modeling and Analysis (26 papers), Computer Graphics and Visualization Techniques (21 papers) and Advanced Vision and Imaging (18 papers). Wan‐Chun Ma collaborates with scholars based in United States, Taiwan and New Zealand. Wan‐Chun Ma's co-authors include Paul Debevec, Ming Ouhyoung, Tim Hawkins, Jen-Yuan Chiang, Andrew Jones, Graham Fyffe, Rung‐Huei Liang, Bing‐Yu Chen, Pieter Peers and Marko Vuković and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.

In The Last Decade

Wan‐Chun Ma

36 papers receiving 784 citations

Peers

Wan‐Chun Ma
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 692
  • Computational Mechanics 378
  • Computer Graphics and Computer-Aided Design 344
  • Control and Systems Engineering 148
  • Human-Computer Interaction 43
Daniel Sýkora Czechia
Adam G. Kirk United States
Ken‐ichi Anjyo Japan
Zeng Huang United States
Enric Corona Spain
Ken Anjyo Japan
Gabriel Schwartz United States
Nils Hasler Germany
Menglei Chai United States
Zerong Zheng China
Daniel Sýkora Czechia View profile →
Citations per field, relative to Wan‐Chun Ma
Wan‐Chun Ma · 1×
Citations per year, relative to Wan‐Chun Ma
Wan‐Chun Ma · 1×

Countries citing papers authored by Wan‐Chun Ma

Since Specialization
Citations

This map shows the geographic impact of Wan‐Chun Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wan‐Chun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Chun Ma more than expected).

Fields of papers citing papers by Wan‐Chun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan‐Chun Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wan‐Chun Ma. The network helps show where Wan‐Chun Ma may publish in the future.

Co-authorship network of co-authors of Wan‐Chun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Chun Ma. A scholar is included among the top collaborators of Wan‐Chun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wan‐Chun Ma. Wan‐Chun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Title Journal Authors Indexed citations
1 AgileGAN ACM Transactions on Graphics Guoxian Song, Linjie Luo et al. 54
2 Deep Relightable Textures Volumetric Performance Capture with Neural Rendering MPG.PuRe (Max Planck Society) Abhimitra Meka, Rohit Pandey et al. 36
3 Rig animation with a tangible and modular input device interactions Wan‐Chun Ma, Daniele Panozzo et al. 1
4 Emotion challenge Wan‐Chun Ma, Chongyang Ma et al. 2
5 Rig Animation with a Tangible and Modular Input Device Wan‐Chun Ma, Daniele Panozzo et al. 2
6 Rig animation with a tangible and modular input device ACM Transactions on Graphics Wan‐Chun Ma, Daniele Panozzo et al. 22
7 Creating an actor-specific facial rig from performance capture Yeongho Seol, Wan‐Chun Ma et al. 15
8 Expression transfer: A system to build 3D blend shapes for facial animation Wan‐Chun Ma, John Lewis et al. 4
9 Head-Mounted Photometric Stereo for Performance Capture Andrew Jones, Graham Fyffe et al. 6
10 A blendshape model that incorporates physical interaction Wan‐Chun Ma, Yihua Wang et al. 6
11 A framework for locally retargeting and rendering facial performance Computer Animation and Virtual Worlds Wan‐Chun Ma, Chun‐Fa Chang et al. 7
12 The Digital Emily Project: Achieving a Photorealistic Digital Actor IEEE Computer Graphics and Applications Oleg Alexander, Mike Rogers et al. 101
13 Asynchronous rendering Ying‐Chieh Chen, Chun‐Fa Chang et al. 3
14 A high-resolution geometry capture system for facial performance Wan‐Chun Ma, Andrew Jones et al. 2
15 Facial performance synthesis using deformation-driven polynomial displacement maps Wan‐Chun Ma, Andrew Jones et al. 25
16 Real-time triple product relighting using spherical local-frame parameterization The Visual Computer Wan‐Chun Ma, Yung‐Yu Chuang et al. 10
17 Domain connected graph: the skeleton of a closed 3D shape for animation The Visual Computer Wan‐Chun Ma, Rung‐Huei Liang et al. 26
18 Level-of-detail representation of bidirectional texture functions for real-time rendering Wan‐Chun Ma, Yu‐Ting Tseng et al. 22
19 An efficient representation of complex materials for real-time rendering Wan‐Chun Ma, Bing‐Yu Chen et al. 12
20 Skeleton extraction of 3D objects with radial basis functions NTUR (臺灣機構典藏) Wan‐Chun Ma, Ming Ouhyoung et al. 69

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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